The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks

Gunantara, Nyoman; Putra, I Dewa Nyoman Nurweda

doi:10.1155/2019/7983583

Cited by 19 publications

(12 citation statements)

References 15 publications

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“…Problems in optimization can be found in many daily life aspects. The kinds of metaheuristic method are various which are ant colony optimization (ACO) ,particle swarm optimization (PSO) and the recent algorithm is whale optimization algorithm (WOA) [39]. the metaheuristic algorithms have been developed to reduce the drawbacks of classical approaches as they take more time to calculate the optimal path [40].…”

Section: Path Planning Meta-heuristic Methodsmentioning

confidence: 99%

A Review on Path Planning Algorithms for Mobile Robots

Abed¹,

Lutfy²,

Al-Doori³

2021

ETJ

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Mobile robots use is rising every day. Path planning algorithms are needed to make a traveler of robots with the least cost and without collisions. Many techniques have been developed in path planning for mobile robot worldwide, however, the most commonly used techniques are presented here for further study. This essay aims to review various path planning strategies for mobile robots using different optimization methods taken recent publisher’s paper in last five year.

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Section: Path Planning Meta-heuristic Methodsmentioning

confidence: 99%

A Review on Path Planning Algorithms for Mobile Robots

Abed¹,

Lutfy²,

Al-Doori³

2021

ETJ

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“…An approach developed by Gunantara et al [7] does work in pair path selection on more criteria as adhoc network. It analyze the meta-heuristic methods as of Ant Colony optimization (ACO), genetic algorithm (GA), and particle swarm optimization (PSO).…”

Section: Literature Reviewmentioning

confidence: 99%

A Hyper Meta-Heuristic Cascaded Support Vector Machines for Big Data Cyber-Security

Mylavathi*,

Srinivasan

2019

IJRTE

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At an incredible speed, cyber security evolves in the ever-changing setting of attacks. Organisation processing of information inward and outward is huge in quantity and determining a threat amidst of information is challengeable. Late discovery of such instance is standstill challenge of the meticulous process. Thence, detection of intrusion and its prevention are rising challenge in Big data factors. the information inundation generally incorporate the Big data terms to dataset. The majorly focused issues are industrial oriented in big data challenge. Existing systems for big data cyber security problems are based on Online Support Vector Machines (OSVMs) framework. Bi-objective optimisation problem with primary objectives is designed as OSVMs configuration process for improving accuracy and less complexity of model. Here, a bi-objective optimization is implemented based on an Artificial Bee Colony (ABC). However, Online Support Vector Machines (OSVMs) has issue with computational complexity, and prematurity and local optimum is major problems in ABC algorithm. By overcoming this issue, developed research system designs an Ensemble Support Vector Machine (ESVM) framework for big data cyber security. Initially, the feature selection is done by using improved K-means clustering. Based on the selected features the intrusion detection and malware detection are performed using ESVM approach. In this proposed research work, a bi-objective optimization problem is designed as the ESVM configuration process for improving accuracy and less complexity of model and achieve its objectives. Cuckoo Search (CS) optimization algorithm is implemented for the bi-objective optimization. accuracy, precision, recall and f-measure are the parametric meters compared in proposed research attaining higher performance against existing approaches.

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“…Al combinar este estudio en un método técnico-administrativo, se entrevistaron expertos de diversas ramas a cada criterio (sociales, ambientales, económicas, políticas y técnicas); por tal motivo, se tuvo un procedimiento de evaluación [6] para analizar elementos homogéneos y no homogéneos (heterogéneos). Entonces, se necesita determinar un modelo de sensibilidad para la toma de decisiones con la finalidad de que, a través de la opinión de expertos, este estudio pueda ser un instrumento técnico-administrativo que impulse la viabilidad de un sistema híbrido tipo rebombeo solar que pueda impactar positivamente el SEN.…”

Section: Metodologíaunclassified

“…Existen varias formas de llegar a un modelo para el fin que se persigue [4], [6]; para ello, se procedió con la siguiente metodología para cada experto en su rama, es decir, elementos homogéneos (Figura 7).…”

Section: Metodologíaunclassified

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Una Nueva Forma de Reducir la Intermitencia Eléctrica de Manera Sustentable, Caso de Estudio: Un Sistema Híbrido Tipo Rebombeo Solar en México

Gutiérrez¹,

Fragoso²

2019

Ing.

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Contexto: México, antes de 2013, tenía un control unilateral tipo gubernamental del sector eléctrico, situación que fue modificada con la reforma energética donde las políticas de operación cambiaron, creando un nuevo esquema basado en un mercado eléctrico mayorista (MEM) a través de un mercado abierto; al mismo tiempo, las fuentes con mayor presencia a la fecha son las fuentes de generación eléctrica tipo intermitente, tales como las centrales solares fotovoltaicas y las centrales eólicas. La intermitencia que de estas fuentes surja en la red de transmisión eléctrica provocará un problema de seguridad energética denominado la curva de pato. Método: Este estudio técnico-administrativo realiza un panorama pormenorizado para estructurar un modelo a través de la toma de decisiones con el proceso de análisis jerárquico (AHP, por sus siglas en inglés), ello con el fin de repotenciar el sector eléctrico mexicano mediante la toma de decisiones con los criterios sociales, ambientales, económicos, políticos y técnicos. Resultados: Se presenta un análisis de sensibilidad resultado del software Lingo y Web-Hipre, el cual sustenta el criterio y subcriterio que mayor beneficio tendrá al incluir una nueva innovación denominada rebombeo solar, ello para salvaguardar las finanzas públicas y disminuir la intermitencia eléctrica en México. Conclusiones: Llevar a la toma de decisiones y tecnologías dentro de políticas energéticas sin necesidad de un modelo físico, pero sí con una investigación de operaciones, comprobando la factibilidad de estas.

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The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks

Cited by 19 publications

References 15 publications

A Review on Path Planning Algorithms for Mobile Robots

A Review on Path Planning Algorithms for Mobile Robots

A Hyper Meta-Heuristic Cascaded Support Vector Machines for Big Data Cyber-Security

Una Nueva Forma de Reducir la Intermitencia Eléctrica de Manera Sustentable, Caso de Estudio: Un Sistema Híbrido Tipo Rebombeo Solar en México

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